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- W2384402802 abstract "In-situ combustion is an effective thermal recovery method.In order to decide whether the in-situ combustion is applicable or not,it is necessary to predict the effect of in-situ combustion with proper methods.It was realized with the method of numerical simulation which is time wasting and influenced by artificial factors.The statistic theory about Support Vector Machine(SVM) is applied to predicting the effect of in situ combustion.From 42 domestic and overseas field pilot studies,14 parameters typical of reservoir bed,fluid and operating are used as input vector and the air-oil ratio is used as output vector.The SVM model is then constructed and tested.Influences of kernel function selection and algorithm parameters choice on the prediction result are also discussed.The result shows that the maximum mean relative error of the method is 6.491%,which confirms the feasibility of this method in predicting the in-situ combustion effect." @default.
- W2384402802 created "2016-06-24" @default.
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- W2384402802 date "2007-01-01" @default.
- W2384402802 modified "2023-09-26" @default.
- W2384402802 title "Effect prediction of in-situ combustion based on Support Vector Machine" @default.
- W2384402802 hasPublicationYear "2007" @default.
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